Blind Optimization Detection Algorithm Based on Space Laser Communication PPM System

Abstract

In view of the high complexity of the traditional blind likelihood detection algorithm applied to PPM technology in the space laser communication system and the prone to flat panel problems, we propose an improved blind likelihood detection algorithm called the blind optimization detection algorithm. The algorithm mainly includes three parts: setting of the frame header at the transmitter, detecting grouping by frame at the receiver and constrained searching. Through simulation, the iteration times of several traditional detection algorithms and blind optimization detection algorithms under different block lengths and the BER performance under different spatial channel conditions are analyzed. The simulation results show that the proposed blind optimization detection algorithm greatly reduces the dependence on the channel statistical characteristics, can accurately restore the signal in a complex environment, can effectively solve the flat panel problem and reduce the complexity. When the space channel conditions and other factors that affect communication change, compared with other detection algorithms, the blind optimization detection algorithm has higher accuracy and less calculation, which can be better applied to the space laser communication system.